The value of mobile music services is set to double in the five years to 2010, by which time they will exceed $11 billion, according to Informa Telecoms & Media. Although the majority of revenue will still come from ringtones, the forecast growth in the ring-back tone and full track download sectors confirms the concept of the mobile phone as a credible music device. A large sector of both the mobile and the music industries have galvanised around mobile music and for the last year have been helping to progress this sector. Handset manufacturers are devoting significant energy into creating sophisticated music devices and operators have been busy rolling out advanced music download services. According to Simon Dyson, co-author of the report, �the growth of mobile music has been astounding, from a cottage industry making basic monophonic ringtones in 1998 to a multi-billion dollar global business on which the music industry is staking much of its future.� All of this activity might suggest that mobile music is in something of a bubble at present and indeed there remains a large number of issues which need to be resolved at all points in the value chain before mobile music can truly move beyond its current ringtone staple.
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...